BreakHis
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical Image Classification | BreaKHis | Acc85.97 | 17 | |
| Medical Image Classification | BreaKHis downsampling eighth x8↓ | Accuracy77.93 | 17 | |
| Medical Image Classification | BreaKHis downsampling quarter (x4↓) | Accuracy86.81 | 17 | |
| Medical Image Classification | BreaKHis downsampling half (x2↓) | Accuracy89.63 | 17 | |
| Medical Image Classification | BreaKHis high-resolution | Accuracy89.52 | 17 | |
| Image Classification | BreakHis | Accuracy96.43 | 14 | |
| Breast Cancer Classification | BreakHis 400X | Sensitivity84.88 | 11 | |
| Breast Cancer Classification | BreakHis 200X | Sensitivity95.32 | 11 | |
| Breast Cancer Classification | BreakHis 100X | Sensitivity95.32 | 11 | |
| Breast Cancer Classification | BreakHis 40X | Sensitivity91.24 | 11 | |
| Two-Class Classification | BreakHis 400x magnification (test) | AUC-ROC0.8945 | 11 | |
| Two-Class Classification | BreakHis 200x magnification (test) | AUC-ROC95.28 | 11 | |
| Two-Class Classification | BreakHis 100x magnification (test) | AUC-ROC96.41 | 11 | |
| Two-Class Classification | BreakHis 40x magnification (test) | AUC-ROC93.87 | 11 | |
| Image Classification | BreakHis 6 (test) | Precision0.9501 | 6 | |
| Target classification and novel class prevalence estimation | BreakHis | Overall Accuracy79.1 | 5 | |
| RoI-level classification | BreakHis | bACC98.3 | 5 | |
| Novel Class Prevalence Estimation | BreakHis | MPE (Novel)0.054 | 4 | |
| Malignancy Classification | BreakHis Mean across magnifications | Metric- | 0 | |
| Malignancy Classification | BreakHis 400X | Metric- | 0 | |
| Malignancy Classification | BreakHis 200X | Metric- | 0 | |
| Malignancy Classification | BreakHis 100X | Metric- | 0 | |
| Malignancy Classification | BreakHis 40X | Metric- | 0 |
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